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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Home Page: https://pandas.pydata.org

License: BSD 3-Clause "New" or "Revised" License

Shell 0.14% Python 90.16% C 1.79% XSLT 0.01% CSS 0.03% HTML 2.12% Smarty 0.04% Batchfile 0.01% Cython 5.69% Dockerfile 0.03%

pandas's Introduction

  • ๐Ÿ‘‹ Hi, Iโ€™m @sksalahuddin2828
  • ๐Ÿ‘€ Iโ€™m interested in to learning something new with creativity...
  • ๐ŸŒฑ Iโ€™m currently learning Python in Stanford University California United States

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Pythonly - A Pythonic Journey

Introduction

Welcome to Pythonly, a repository dedicated to all things Pythonic! Here, we explore the depths of Python programming and its various applications. From beginner-friendly tutorials to advanced techniques, we've got you covered.

This repository is designed for Python enthusiasts, students, and developers who want to enhance their skills and knowledge of the language. With a focus on practical examples and real-world scenarios, you'll gain a deeper understanding of Python and its capabilities.


Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language. Pandas is a Python library.

Check out our Pandas home page for more information.

Property Data
Language / IDE Python Badge Pycharm Badge Python Badge JavaScript VS Code React TypeScript Nextjs SCSS Java NodeJS C++
Domain Knownledge Machine Learning Badge Computer Science Development Badge Software Development Badge Electrical Engineering Development Badge
CI / CD Git GitHub Markdown Badge FileZilla
Databases MySQL SQL Postgresql
OS Windows Ubuntu
Tools & Platform Google Colab OpenCV HTML5 CSS3 Django REST framework Nginx Flask Redis SqlAlchemy Jest Badge
Machine Learning / Deep Learning frameworks PyPi Conda NUMFocus Coverage Imports: isort Slack Azure pipelines status Scikit-learn PyTorch TensorFlow
A learning and team-building exercise Deploy CodeQL

๐Ÿ“ˆ GitHub Activity Graph:

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License

Python is released under the MIT License.

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